Google Cloud Platform Data Engineer job vacancy

Vacancy expired!

Solid experience and understanding of any large-scale migration and operationalization of data warehousing data lakes and analytics platforms to Google Cloud Platform is a must.
Candidates should have a broad set of technology skills across their areas and can demonstrate the ability to design the right solutions with the appropriate combination of Google Cloud and 3rd party technologies for deploying on Google Cloud.
Minimum 3 years of direct experience in Enterprise Data Warehousing or Big Data Lake technologies.
At least 1 year of hand on experience on Google Cloud Platform cloud data implementation project experience BigQuery Cloud Storage Cloud Composer Dataproc Data Catalog etc.
Minimum 3 years of experience with developing software code in one or more languages such as Java Python Scala and SQL.
Minimum 3 years of experience designing and deploying large-scale distributed data processing systems with few technologies such as Oracle MS SQL Server MySQL PostgreSQL Hadoop Spark HBase Teradata.
Minimum 3 years of experience using BigData and warehousing toolsets such as python as Arrow Data Quality tools Data scanning tools Data Entitlement such as Ranger and Cloud DLP.
Google Cloud Platform certification such as Cloud Data Engineer Associate or Architect highly preferable.